地理学报 ›› 2012, Vol. 67 ›› Issue (5): 589-598.doi: 10.11821/xb201205002

• 人地关系 • 上一篇    下一篇

近25 年三北防护林工程区土地退化及驱动力分析

黄森旺1,2, 李晓松1, 吴炳方1, 裴亮2   

  1. 1. 中国科学院遥感应用研究所, 北京100101;
    2. 辽宁工程技术大学测绘与地理科学学院, 阜新123000
  • 收稿日期:2011-09-20 修回日期:2011-11-11 出版日期:2012-05-20 发布日期:2012-05-20
  • 通讯作者: 李晓松(1981-), 男, 副研究员, E-mail: lixs@irsa.ac.cn
  • 基金资助:
    中国科学院知识创新工程重大项目(KZCX1-YW-08-03); 国家科技支撑项目(2011BAH23B04)

The Distribution and Drivers of Land Degradation in the Three-North Shelter Forest Region of China during 1982-2006

HUANG Senwang1,2, LI Xiaosong1, WU Bingfang1, PEI Liang2   

  1. 1. Institute of Remote Sensing Applications, CAS, Beijing 100101, China;
    2. Department of Survey and Geography Science, Liaoning Project Technology University, Fuxin 123000, Liaoning, China
  • Received:2011-09-20 Revised:2011-11-11 Online:2012-05-20 Published:2012-05-20
  • Supported by:
    The Key Project of Knowledge Innovation Program of the Chinese Academy of Sciences, No.KZCX1-YW-08-03; National Science and Technology Supporting Item, No.2011BAH23B04

摘要: 以长时间序列的遥感数据NOAA/AVHRR NDVI 为基础, 利用Sen 趋势度与Mann-Kendall 分析法相结合的方式分析了三北防护林工程区1982 年到2006 年土地退化趋势,结合气候因子降雨,运用残差法模型评价了人类活动在工程区内土地退化中所起的作用。结果表明:区域内土地退化程度整体趋于减轻,即植被上升的区域大于下降的区域,13.00%的地区退化程度显著减轻,6.20%的地区退化程度显著加重。其中绝大多数省份的土地退化程度趋于减轻,尤以内蒙古、青海和新疆最为明显,只有甘肃省土地退化程度明显趋于加重。而人类活动对植被变化起显著正作用的占11.93%,显著负作用的为6.19%。这说明在干旱、半干旱区,由于降雨随时间的变化不显著,对植被变化的影响相对较为微弱,植被显著变化主要受人类活动的影响。

关键词: 土地退化, 遥感, Sen+Mann-Kendall, 残差法, 空间变化, 三北防护林

Abstract: It is important to conduct studies on spatio-temporal distribution and drivers based on remote sensing for quantitative estimation of large-scale regional land degradation. In this paper, we analyze the land degradation trend in the Three-North Shelter Forest region of China from 1982 to 2006, using the remotely-sensed data of NOAA/AVHRR Normalized Difference Vegetation Index (NDVI) based on the Sen +Mann-Kendall trend analysis method, and assess the combined effect of human activities and precipitation on the regional land degradation by using the Residual Trends model. The results indicate that the land degradation have a declining trend as a whole, with the significant increase and the significant decrease being 13.00% and 17.29%, respectively. Land degradation in most of the provinces tends to be relatively slight, especially in Inner Mongolia, Qinghai and Xinjiang, while Gansu witnesses the opposite trend. Human activities contributed 11.93% to the significant vegetation increase, and 6.19% to the degradation. This means that in the arid or semi-arid regions, the temporal change of precipitation is not significant, so the obvious vegetation change is mainly affected by human activities.

Key words: land degradation, remote sensing, Sen + Mann-Kendall, Residual Trends method, spatial distribution, Three-North Shelter Forest